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[PRE REVIEW]: SGMCMCJax: a lightweight JAX library for stochastic gradient Markov chain Monte Carlo algorithms #4084
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Hi @jeremiecoullon, while we are getting started, could you take a look at that potentially missing DOI? I also noticed some formatting issues with your references, if you could take a look at those too. For reference, the available citation commands are:
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@dfm has been invited to edit this submission. |
@whedon assign me as editor Sure thing! @jeremiecoullon give me a few days to do a first editorial pass and then I'll start recruiting reviewers. Let me know if you have any questions as the process progresses. |
OK, the editor is @dfm |
@kyleniemeyer : thanks for these tips!
Let me know if there are any other issues I can help with |
@whedon generate pdf |
@jeremiecoullon yep, looks good! @dfm Thanks! |
@whedon add @canyon289 as reviewer Thanks for agreeing to review, Ravin! |
OK, @canyon289 is now a reviewer |
@whedon add @ColCarroll as reviewer Thanks also to Colin! |
OK, @ColCarroll is now a reviewer |
Hello all, thrilled to be a reviewer and learn more about your work! Very much looking forward to this |
@whedon start review @ColCarroll, @canyon289, @jeremiecoullon — The bot will now get the main review thread started in a new issue so I'll see you all over there! |
OK, I've started the review over in #4113. |
Submitting author: @jeremiecoullon (Jeremie Coullon)
Repository: https://github.com/jeremiecoullon/SGMCMCJax
Version: 0.2.9
Editor: @dfm
Reviewers: @canyon289, @ColCarroll
Managing EiC: Kyle Niemeyer
Due to the challenges of the COVID-19 pandemic, JOSS is currently operating in a "reduced service mode". You can read more about what that means in our blog post.
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